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submitted 4 weeks ago by wuphysics87@lemmy.ml to c/privacy@lemmy.ml

I've been play around with ollama. Given you download the model, can you trust it isn't sending telemetry?

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[-] JustJack23@slrpnk.net 3 points 4 weeks ago

Can't you run if from a container? I guess the will slow it down, but it will deny access to your files.

[-] marcie@lemmy.ml 13 points 4 weeks ago

yeah you could. though i dont see any evidence that the large open source llm programs like jan.ai or ollama are doing anything wrong with their program or files. chucking it in a sandbox would solve the problem for good though

[-] SeekPie@lemm.ee 6 points 4 weeks ago* (last edited 4 weeks ago)

You could use "Alpaca" flatpak and remove the internet access with flatseal after having downloaded the model. (Linux)

Or deny the app's access to internet in app settings. (Android)

[-] acockworkorange@mander.xyz 9 points 4 weeks ago

Containers don’t really slow down apps significantly. It’s not a VM, it’s still a native app running in your kernel, just on a separate memory space and restricted access to hardware.

[-] JustJack23@slrpnk.net 1 points 4 weeks ago

That is true for Linux and maybe Mac, but on windows I think they have a bit more overhead. But again I agree that in most cases it is not significant.

[-] acockworkorange@mander.xyz 5 points 4 weeks ago* (last edited 3 weeks ago)

Is the overhead because of containers or is it because you’re running something that is meant to run on Linux and is using a conversion layer like MinGW ?

[-] stink@lemmygrad.ml 1 points 4 weeks ago

Windows > Windows Subsystem for Linux (WSL) Ubuntu > docker container

I think WSL 2 actually runs Linux in a virtual environment. I've tried getting my own LLM instance running on my windows machine but it's been such a pain.

this post was submitted on 28 Nov 2024
67 points (92.4% liked)

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